Sparsity-Aware Noise Subspace Fitting for DOA Estimation

We propose a sparsity-aware noise subspace fitting (SANSF) algorithm for direction-of-arrival (DOA) estimation using an array of sensors. The proposed SANSF algorithm is developed from the optimally weighted noise subspace fitting criterion. Our formulation leads to a convex linearly constrained qua...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Chundi, Chen, Huihui, Wang, Aiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982932/
https://www.ncbi.nlm.nih.gov/pubmed/31877776
http://dx.doi.org/10.3390/s20010081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982932/
https://www.ncbi.nlm.nih.gov/pubmed/31877776
http://dx.doi.org/10.3390/s20010081

Ejemplares similares